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Full-Text Articles in Biochemistry, Biophysics, and Structural Biology
Flash Artifact Suppression In Two-Dimensional Ultrasound Imaging, Richard Yung Chiao, Gregory Ray Bashford, Mark Peter Feilen, Cynthia Andrews Owen
Flash Artifact Suppression In Two-Dimensional Ultrasound Imaging, Richard Yung Chiao, Gregory Ray Bashford, Mark Peter Feilen, Cynthia Andrews Owen
Biomedical Imaging and Biosignal Analysis Laboratory
Flash artifacts in ultrasound flow images are suppressed to achieve enhanced flow discrimination. Flash artifacts typically occur as region of elevated signal strength (brightness or equivalent color) within an image. A flash suppression algorithm included the steps of estimating the flash within an image and then suppressing the estimated flash. The mechanism for flash suppression is spatial filtering. An extension of this basic method used information from adjacent frames to estimate the flash and/or to smooth the resulting image sequence. Temporal information from adjacent frames is used as an adjunct to improve performance.
Mechanisms And Integration Of Signal Pathway: A Role For Calpains?, Dorothy E. Croall
Mechanisms And Integration Of Signal Pathway: A Role For Calpains?, Dorothy E. Croall
University of Maine Office of Research Administration: Grant Reports
In order to survive cells must sense and respond to changes in their environment. Environmental cues trigger a variety of events within cells. The concentration and movements of calcium ions are essential regulators of many of these cellular responses. Proper control of intracellular calcium is essential because at thigh levels calcium can lead to cell damage or death. Calcium accomplishes it effects through binding to specific proteins such as calmodulin and calpain. Calmodulin, named for its ability to bind calcium and to modulate the activity of other cellular components, is an important mediator of calcium signals and its mechanism of …
Evaluation Of Multiple Models To Distinguish Closely Related Forms Of Disease Using Dna Microarray Data: An Application To Multiple Myeloma, Johanna S. Hardin, Michael Waddell, C. David Page, Fenghuang Zhan, Bart Barlogie, John Shaughnessy, John J. Crowley
Evaluation Of Multiple Models To Distinguish Closely Related Forms Of Disease Using Dna Microarray Data: An Application To Multiple Myeloma, Johanna S. Hardin, Michael Waddell, C. David Page, Fenghuang Zhan, Bart Barlogie, John Shaughnessy, John J. Crowley
Pomona Faculty Publications and Research
Motivation: Standard laboratory classification of the plasma cell dyscrasia monoclonal gammopathy of undetermined significance (MGUS) and the overt plasma cell neoplasm multiple myeloma (MM) is quite accurate, yet, for the most part, biologically uninformative. Most, if not all, cancers are caused by inherited or acquired genetic mutations that manifest themselves in altered gene expression patterns in the clonally related cancer cells. Microarray technology allows for qualitative and quantitative measurements of the expression levels of thousands of genes simultaneously, and it has now been used both to classify cancers that are morphologically indistinguishable and to predict response to therapy. It is …